Korábbi változatok

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• We could begin by synthesizing a largely manual update detection and notification mechanism that runs throughout the supply chain, then semi-automated approaches (e.g., that detect changes on target web pages), and ultimately fully automated approaches that leverage computable, standards-based, interoperable information throughout the supply chain.
• Important foundational work for this has been laid in SRDR/COKA collaborations, and we should explore how to fully leverage and build on this in developing an 'update notification' approach. Especially since SRDR is an important component of AHRQ's current digital knowledge platform.

• Note from Jens SRDR Team: "my team is interested in ... the development of automated literature searches to assist in SR updates or at least signal an opportunity for one. A preliminary step to this effort was the development of a RCT classifier. I think this is similar to what you previously referred to as COKA enhanced tagging tool, at least in nature. Using these kinds of machine learning assisted tools can bring us a step closer to more automation and living SRs. " Response from David Tovey: "In terms of an RCT Classifier, you may be interested to know that a tool with exactly this name has been developed by James Thomas and his team at UCL in London. It is currently in use within Cochrane but it might be useful to reach out to James if you are interested to explore this. ... The tool is capable of assessing large bundles of citation and abstracts very quickly with an accuracy level that is at least as good as could be achieved manually."

Sampling of External Sources to Check for Updated Evidence/Guidance on Targets

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